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Analyzing a New Portfolio Balance Model with Micro and Macro Determinants of Exchange Rate when Expectations are Rational

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  • Karnikaa Bhattacharyya

    (Indian Institute of Information Technology Guwahati)

  • Kaveri Deb

    (Indian Institute of Information Technology Guwahati)

Abstract

The current study incorporates a modified version of Kouri's (1983) portfolio balance rational expectations model to determine and forecast the bilateral exchange rate between India and the US for the period 1996:Q2-2019:Q3. The assumption of rational expectations enables us to analyse the factors representing current and capital account as macroeconomic determinants of exchange rates. The most significant contribution of the current study is however the inclusion of the microstructure theory within Kouri's (1983) framework, which permits us to determine the role of micro factors and macro factors, in influencing exchange rate. The use of the novel econometric tool, the Nonlinear Auto-Regressive Distributed Lag (NARDL) model, combined with various post-estimation tests, allows us to conclude in favour of asymmetric relationship between some of the exogenous variables and the exchange rate, with both micro and macro factors being important determinants of the exchange rate in the short-run. While evaluating the forecasting accuracy of the modified Kouri's (1983) model, we compare it to the Random Walk Model (RWM) across three forecast horizons: 6-months, 1-year, and 2-years. The results show that the modified Kouri (1983) model outperforms the RWM for all the forecast horizons considered.

Suggested Citation

  • Karnikaa Bhattacharyya & Kaveri Deb, 2025. "Analyzing a New Portfolio Balance Model with Micro and Macro Determinants of Exchange Rate when Expectations are Rational," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 23(1), pages 105-135, March.
    • Handle: RePEc:spr:jqecon:v:23:y:2025:i:1:d:10.1007_s40953-024-00427-5
    DOI: 10.1007/s40953-024-00427-5
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    1. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290, World Scientific Publishing Co. Pte. Ltd..
    2. Engel, Charles M & Flood, Robert P, 1985. "Exchange Rate Dynamics, Sticky Prices and the Current Account," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(3), pages 312-327, August.
    3. Andrés Fernández & Michael W Klein & Alessandro Rebucci & Martin Schindler & Martín Uribe, 2016. "Capital Control Measures: A New Dataset," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(3), pages 548-574, August.
    4. Meese, Richard A, 1986. "Testing for Bubbles in Exchange Markets: A Case of Sparkling Rates?," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 345-373, April.
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. Berger, David W. & Chaboud, Alain P. & Chernenko, Sergey V. & Howorka, Edward & Wright, Jonathan H., 2008. "Order flow and exchange rate dynamics in electronic brokerage system data," Journal of International Economics, Elsevier, vol. 75(1), pages 93-109, May.
    7. Beckmann, Joscha & Czudaj, Robert, 2017. "Exchange rate expectations and economic policy uncertainty," European Journal of Political Economy, Elsevier, vol. 47(C), pages 148-162.
    8. Ecenur Ugurlu‐Yildirim & Baris Kocaarslan & Beyza M. Ordu‐Akkaya, 2021. "Monetary policy uncertainty, investor sentiment, and US stock market performance: New evidence from nonlinear cointegration analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1724-1738, April.
    9. Faust, Jon & Rogers, John H., 2003. "Monetary policy's role in exchange rate behavior," Journal of Monetary Economics, Elsevier, vol. 50(7), pages 1403-1424, October.
    10. repec:eme:mfppss:eb018476 is not listed on IDEAS
    11. Christopher J. Neely & Lucio Sarno, 2002. "How well do monetary fundamentals forecast exchange rates?," Review, Federal Reserve Bank of St. Louis, vol. 84(Sep), pages 51-74.
    12. Oleg Itskhoki & Dmitry Mukhin, 2021. "Exchange Rate Disconnect in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2183-2232.
    13. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    14. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
    15. Diebold, Francis X. & Pauly, Peter, 1988. "Endogenous risk in a portfolio-balance rational-expectations model of the Deutschemark-Dollar rate," European Economic Review, Elsevier, vol. 32(1), pages 27-53, January.
    16. Simran, & Sharma, Anil Kumar, 2024. "Asymmetric nexus between economic policy uncertainty and the Indian stock market: Evidence using NARDL approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 91-101.
    17. Hooper, Peter & Morton, John, 1982. "Fluctuations in the dollar: A model of nominal and real exchange rate determination," Journal of International Money and Finance, Elsevier, vol. 1(1), pages 39-56, January.
    18. Kido, Yosuke, 2016. "On the link between the US economic policy uncertainty and exchange rates," Economics Letters, Elsevier, vol. 144(C), pages 49-52.
    19. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    20. David O. Cushman, 2007. "A portfolio balance approach to the Canadian–U.S. exchange rate," Review of Financial Economics, John Wiley & Sons, vol. 16(3), pages 305-320.
    21. Chinn, Menzie D. & Meese, Richard A., 1995. "Banking on currency forecasts: How predictable is change in money?," Journal of International Economics, Elsevier, vol. 38(1-2), pages 161-178, February.
    22. Hemrit, Wael & Nakhli, Mohamed Sahbi, 2021. "Insurance and geopolitical risk: Fresh empirical evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 320-334.
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    More about this item

    Keywords

    Indian rupee; Portfolio balance model; Depreciation; Rational expectations; Microstructure theory; NARDL approach; Forecasting; Random walk model;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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